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| Module Availability |
| Semester 2 |
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| Assessment Pattern |
Assessment Pattern
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Unit(s) of Assessment
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Weighting Towards Module Mark( %)
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Assignment 1
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40
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Assignment 2
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60
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Qualifying Condition(s)
A weighted aggregate mark of 40% is required to pass the module.
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| Module Overview |
| This module gives an introduction to mathematical modelling, implementing solutions in Matlab. |
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| Prerequisites/Co-requisites |
| MAT1015 Calculus, MAT1016 Linear Algebra |
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| Module Aims |
| This module gives an introduction to mathematical modelling and the solution of numerical and algebraic problems in Matlab. |
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| Learning Outcomes |
| At the end of the course, the students should understand the mathematical modelling cycle, how a variety of mathematical problems can be solved computationally, and be fluent in the use of Matlab for the solution of these problems. |
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| Module Content |
This module will introduce ideas of mathematical modelling and will introduce Matlab as a tool for experimenting with the mathematical models that are considered. Both numerical and symbolic computations in Matlab will be used.
A selection of mathematical topics will be considered, with one topic being considered each week. Many of the topics will relate to material covered in other Level 1 modules, and may include:
• Sums and series
• Iterated maps
• Problems from linear algebra
• Differential equations
• Fourier series
• Functions of two variables
• Linear regression
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| Methods of Teaching/Learning |
| Each week there will be a lecture which introduces a modelling problem, a lab session in which students can experiment with the problem described in the lecture, followed by another lecture to follow up on the mathematical problem and any Matlab issues encountered. The first 5 lab sessions will be compulsory. In subsequent weeks, the labs will operate on a drop-in basis for students who want help. |
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| Selected Texts/Journals |
Recommended Texts:
B. Barnes and G.R. Fulford, Mathematical Modelling with Case Studies: A Differential Equations Approach using Maple and MATLAB, Second Edition, CRC Press, 2009.
E.S. Allman and J.A. Rhodes, Mathematical Models in Biology: An Introduction, CUP, 2004.
K. Sigmon, Matlab Primer, Third Edition, 1993.
D.F. Griffiths, An Introduction to Matlab, Version 2.3, 2005.
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| Last Updated |
| November 2010 |
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